Triple

T888277
Position Surface form Disambiguated ID Type / Status
Subject Shimon bar Yochai E19179 entity
Predicate name P16 FINISHED
Object Rashbi
Rashbi is the commonly used acronymic name for Rabbi Shimon bar Yochai, a 2nd-century Talmudic sage and central figure in Jewish mysticism.
 E108131 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Rashbi | Statement: [Shimon bar Yochai, name, Rashbi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rashbi
Context triple: [Shimon bar Yochai, name, Rashbi]
  • A. Ropsha
    Ropsha is a historic estate and village near Saint Petersburg, Russia, known as the site of Emperor Peter III’s mysterious death in 1762.
  • B. Nachod
    Náchod is a historic town in the Hradec Králové Region of northeastern Czech Republic, near the Polish border, known for its castle and spa traditions.
  • C. Safed
    Safed is a historic hilltop city in northern Israel renowned as one of Judaism’s four holy cities and a major center of Jewish mysticism (Kabbalah).
  • D. Herzliya
    Herzliya is a coastal city in central Israel known as a high-tech and academic hub, home to major technology companies and institutions.
  • E. Shosha
    Shosha is a novel by Nobel Prize–winning author Isaac Bashevis Singer that portrays a doomed love story set against the backdrop of pre–World War II Jewish Warsaw.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rashbi
Triple: [Shimon bar Yochai, name, Rashbi]
Generated description
Rashbi is the commonly used acronymic name for Rabbi Shimon bar Yochai, a 2nd-century Talmudic sage and central figure in Jewish mysticism.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rashbi
Target entity description: Rashbi is the commonly used acronymic name for Rabbi Shimon bar Yochai, a 2nd-century Talmudic sage and central figure in Jewish mysticism.
  • A. Ropsha
    Ropsha is a historic estate and village near Saint Petersburg, Russia, known as the site of Emperor Peter III’s mysterious death in 1762.
  • B. Nachod
    Náchod is a historic town in the Hradec Králové Region of northeastern Czech Republic, near the Polish border, known for its castle and spa traditions.
  • C. Safed
    Safed is a historic hilltop city in northern Israel renowned as one of Judaism’s four holy cities and a major center of Jewish mysticism (Kabbalah).
  • D. Herzliya
    Herzliya is a coastal city in central Israel known as a high-tech and academic hub, home to major technology companies and institutions.
  • E. Shosha
    Shosha is a novel by Nobel Prize–winning author Isaac Bashevis Singer that portrays a doomed love story set against the backdrop of pre–World War II Jewish Warsaw.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a4939c32488190a7ccd41cf0abb22b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ace8b8688190ac065f92c017adec completed March 1, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7cf5824608190beb2c934d4986219 completed March 4, 2026, 6:21 a.m.
NEDg Description generation batch_69a7cff6d01c81909c838fe9b2242e2a completed March 4, 2026, 6:23 a.m.
NED2 Entity disambiguation (via description) batch_69a7d066a3488190b4737ab9e8093892 completed March 4, 2026, 6:25 a.m.
Created at: March 1, 2026, 7:39 p.m.